An open-source machine-learning application for predicting pixel-to-pixel NDVI regression from RGB calibrated images

Author:

Moscovini Lavinia,Ortenzi Luciano,Pallottino Federico,Figorilli Simone,Violino Simona,Pane Catello,Capparella Valerio,Vasta Simone,Costa CorradoORCID

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference40 articles.

1. GAN generation of synthetic multispectral satellite images;Abady,2020

2. A machine-learning based ConvLSTM architecture for NDVI forecasting;Ahmad;Int. Trans. Oper. Res.,2023

3. Analysis of paddy productivity using NDVI and K-means clustering in Cibarusah Jaya, Bekasi Regency;Almadani,2019

4. The digitisation of agriculture: a survey of research activities on smart farming;Bacco;Array,2019

5. Experimenting Agriculture 4.0 with Sensors: A Data Fusion Approach between Remote Sensing, UAVs and Self-Driving Tractors;Barrile;Sensors,2022

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